Key to precision medicine is the development of expert database projects that gather data, integrate them in the pre-existing database, and publish the product of their processing for others to make use of. Increasingly, it is required that data infrastructure managers and curators pursue and lead research projects on the data so as to learn about new ways data could be used or information that could be potentially generated from them. I call these efforts “data curation-research” and use the case study of COSMIC, the Catalogue of Somatic Mutations in Cancer, to analyze the contextual factors shaping the science of data curation-research. I build on March’s organizational learning categories of exploitation and exploration to place these factors within a theory of organizational change and innovation, and contribute to a richer picture of the social drivers of cancer genomics.

精准医学的关键是开发专家数据库项目，该项目将数据收集，整合到现有数据库中并发布其处理产品以供其他人使用。越来越需要数据基础架构经理和策展人从事和领导有关数据的研究项目，以了解可以使用数据的新方式或可能从中产生信息的信息。我将这些努力称为“数据策展研究”，并使用COSMIC（《癌症的体细胞突变目录》）的案例研究来分析影响数据策展研究科学的背景因素。我以三月关于开发和探索的组织学习类别为基础，将这些因素置于组织变革和创新理论中，